3D Objects Localization using Fuzzy Approach and Hierarchical Belief Propagation: Application at Level Crossings

Technological solutions for obstacle detection systems have been proposed to prevent accidents in safety transport applications. In order to avoid the limits of these proposed technologies, an obstacle detection system utilizing stereo cameras is proposed to detect and localize multiple objects at level crossings. Background subtraction is first performed using the Color Independent Component Analysis technique, which has proved its performance against other well-known object detection methods. The main contribution is the development of a robust stereo matching algorithm which reliably localizes in 3D each segmented object. A standard stereo dataset and real-world images are used to test and evaluate the performances of the proposed algorithm to prove the efficiency and the robustness of the proposed video surveillance system.

• Authors:
  • FAKHFAKH, Nizar
  • KHOUDOUR, Louahdi
  • EL KOURSI, El Miloudi
  • BRUYELLE, Jean Luc
  • DUFAUX, Alain
  • JACOT, Jacques
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Pagination: 13p
• Serial:
  • EURASIP Journal on Image and Video Processing Special issue Advanced Video-Based Surveillance

Subject/Index Terms

• TRT Terms: Cameras; Detection and identification; Hazards; Obstructions (Navigation); Railroad grade crossings; Safety
• ITRD Terms: 6750: Camera video; 9115: Detection; 1644: Obstacle; 452: Passage a niveau; 1665: Securite
• Subject Areas: Railroads; Safety and Human Factors;

Filing Info

• Accession Number: 01497595
• Record Type: Publication
• Source Agency: Institut Francais des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
• Contract Numbers: NA, Non affecté
• Files: ITRD
• Created Date: Nov 7 2013 11:46AM